FID-5k-training-steps: 9.1679
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Image Generation
Image Generation (synthesis) is the task of generating new images from an existing dataset.
- Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
- Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.
In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.
<span style="color:grey; opacity: 0.6">( Image credit: StyleGAN )</span>
논문
FID: 12.91Inception score: 11.6Model Size (MB): 19.47
FID: 11.5Recall: 0.49
FID: 6.91
FID: 11.61Inception score: 11.79Model Size (MB): 19.47
FID-5k-training-steps: 0.89
FID: 67.41
FID: 2.32
FID: 21.73
FID: 11.25Inception score: 52.53
FID: 10.3
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
FID: 13.20Inception score: 47.32
FID: 34.91Inception score: 13.50
FID: 28.0
FID: 13.7
FID: 7.71Inception score: 13.43
FID: 12.93Recall: 0.41NFE: 4